Brainprint identity identification authentication method based on multi-characteristics algorithm

Abstract

The invention belongs to the technical field of biomedicalengineering and information, in particular to a brainprint identity identification authentication method based on a multi-characteristics algorithm. By fully utilizing characteristic fusion, different brain wave signals are generated by training a trainee with different stimulus patterns; the brain wave signals generated by the stimulus are analyzed by using a multi-characteristic extraction method, the extracted individual characteristic signals generate individual classifiers, target characteristics are extracted form the acquired brain wave signals when in identity identification or authentication, and are input to corresponding individual classifiers, output results are uniformized to judge the results, and judged results appear in probability distribution way. The identification rate can exceed 90 percent by selecting a suitable threshold value. The brainprint identity identification authentication technology can change biological characteristics, the trainee only imagines a certain motion, the motion can be used as a password for storage, keys, passwords or other tools are not needed when in application, and by only remembering the passwords, the operation can be completed.

Description

technical field [0001] The invention belongs to the fields of biomedical engineering and information technology, in particular to a method for identifying and authenticating brain prints based on a multi-feature algorithm. technical background: [0002] Identification and verification are important prerequisites for ensuring national public safety and information security. In national security, public security, justice, e-commerce, e-government, security inspection, security monitoring and other application fields, accurate identification and identification are required. The traditional verification method for identification items (such as keys, certificates, bank cards); the other is a verification method based on identification knowledge (such as user name, password, etc.). However, marked items are easily lost or counterfeited, and marked knowledge is easily forgotten or deciphered. Biometric identification technology has brought the possibility of realizing this wish. ...

AI Technical Summary

Problems solved by technology

[0005] At present, the research on identification and authentication based on brainprint has just started, basically in the stage of laboratory research, and it is still a common signal processing and pattern recognition method. The main problem is that the stability is not high, and different methods have different specificities. , that is, an approach that works particularly well for some groups of people may not work as well for others

It can also happen that a method works for a certain time period of an individual and may not work well for other periods of time

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